Understanding Demand for Project Manager Competences in the Construction Industry: Data Mining Approach

业务 水准点(测量) 利益相关者 透视图(图形) 知识管理 营销 计算机科学 管理 经济 大地测量学 人工智能 地理
作者
Junping Zheng,Quan Wen,Maoshan Qiang
出处
期刊:Journal of the Construction Division and Management [American Society of Civil Engineers]
卷期号:146 (8) 被引量:19
标识
DOI:10.1061/(asce)co.1943-7862.0001865
摘要

Construction project managers (CPMs) are highly in demand in the construction industry, but this has not yet comprehensively been studied from a demand-side perspective. This study investigated the real-world demand for CPMs’ competences by mining the big data of job advertisements. Using a large data set of 243,521 job advertisements that covered nearly the whole online job market for CPMs in China over 1 year, we tracked the demands for CPM competences at the industry level. A structural topic model (STM), a text-mining method, was used to analyze the descriptions of the CPM competences requirements to identify the major competences dimensions emphasized in the advertisements. The results suggest that there are eight major competences dimensions that recruiters expect from CPMs. Compared with relatively smaller firms, larger firms place more emphasis on construction site management, project objective monitoring, and organizational management capability. Compared with public firms, private firms prefer coordination and communication, external stakeholder management, and organizational management capability. Cluster analysis of job advertisements further suggested that there are five major types of CPMs, each of which specializes in only a few competences instead of being competent in all aspects. These findings revealed the real-world demands for CPMs and provided theoretical implications for developing a CPM competences framework from a realistic demand-side perspective. The findings also can be utilized to assist construction firms in formulating more-informed recruiting strategies and to help practitioners benchmark their own competences with industry demands.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
风轩轩发布了新的文献求助10
2秒前
19完成签到,获得积分10
3秒前
如意的手套完成签到,获得积分10
4秒前
细腻的从蓉完成签到,获得积分10
4秒前
小金完成签到 ,获得积分10
4秒前
森sen完成签到 ,获得积分10
6秒前
栗子完成签到,获得积分10
6秒前
科研发布了新的文献求助10
6秒前
henry完成签到,获得积分10
6秒前
蛋卷发布了新的文献求助10
6秒前
真瑞卍发布了新的文献求助10
6秒前
jenna完成签到,获得积分10
7秒前
7秒前
李志全完成签到 ,获得积分10
7秒前
平常毛衣完成签到,获得积分10
11秒前
李健的小迷弟应助taotao216采纳,获得10
12秒前
13秒前
Chouvikin完成签到,获得积分10
13秒前
14秒前
molihuakai应助梓歆采纳,获得10
15秒前
胖虎完成签到,获得积分10
16秒前
17秒前
机智的念文完成签到,获得积分10
17秒前
顾矜应助占听兰采纳,获得10
17秒前
慕青应助nighwalk采纳,获得10
19秒前
Cheng55发布了新的文献求助10
22秒前
22秒前
O哈哈完成签到 ,获得积分10
22秒前
YBY发布了新的文献求助10
23秒前
小蘑菇应助梓歆采纳,获得10
23秒前
tyyyyyy完成签到,获得积分10
24秒前
传奇3应助huax采纳,获得10
25秒前
piaopiao完成签到,获得积分10
27秒前
nighwalk完成签到,获得积分10
27秒前
zzn完成签到,获得积分10
28秒前
YBY完成签到,获得积分10
28秒前
沉静丹寒发布了新的文献求助10
29秒前
29秒前
西蓝花战士完成签到 ,获得积分10
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Organometallic Chemistry of the Transition Metals 800
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6437717
求助须知:如何正确求助?哪些是违规求助? 8252079
关于积分的说明 17558405
捐赠科研通 5496122
什么是DOI,文献DOI怎么找? 2898680
邀请新用户注册赠送积分活动 1875346
关于科研通互助平台的介绍 1716355